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<span lang="EN-US"><p style="text-align: center;">Automatic pattern segmentation of jacquard warp-knitted fabric based on hybrid image processing methods</p></span>

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Title Statement <span lang="EN-US"><p style="text-align: center;">Automatic pattern segmentation of jacquard warp-knitted fabric based on hybrid image processing methods</p></span>
 
Added Entry - Uncontrolled Name Zhang, Yang ; 1.Engineering Research Center of Clothing of Zhejiang Province (Zhejiang Sci-Tech University),China 2.College of Keyi, Zhejiang Sci-tech University,China
Jiang, Gaoming ; Engineering Research Center of Warp Knitting，Ministry of Education,Jiangnan University,China
Yao, Jonzhou
Tong, Youcheng ; Ningbo Institute Technology，Zhejiang University, China
Funded by Zhejiang Top Priority Discipline of Textile Science and Engineering & Engineering Research Center of Clothing Technology of Zhejiang Province,China.
 
Uncontrolled Index Term Bilateral filter; Fuzzy e-means clustering; Jacquard warp-knitted fabric;Pattern separation;Wavelet decomposition
 
Summary, etc. <p class="Abstract" style="text-align: justify;">This paper reports an automatic pattern separation approach for jacquard warp-knitted fabric, which includes bilateral filter, pyramidal wavelet decomposition and improved fuzzy c-means (FCM) clustering. First, jacquard warp-knitted fabric images are captured and digitized by a scanner in gray mode, and then the bilateral filter is adopted to smoothen the fabric textures formed by various lapping movements of jacquard fabric and to reduce the noise appearing in capturing process. Next, multi-scale wavelet decomposition is applied to lessen calculation burden and to shorten computation time. Finally, the modified FCM clustering is proposed, in which the Mercer Kernel function is used to make some features prominent for clustering, and a weight function is proposed to measure the similarity between the data and the clustering center. The experimental results reveal that this hybrid method can achieve fast and accurate pattern segmentation. It is proved that this study is suitable for the pattern separation of jacquard warp-knitted fabric.</p>
 
Publication, Distribution, Etc. Indian Journal of Fibre & Textile Research (IJFTR)
2015-06-09 09:43:49
 
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http://op.niscair.res.in/index.php/IJFTR/article/view/3045
 
Data Source Entry Indian Journal of Fibre & Textile Research (IJFTR); ##issue.vol## 40, ##issue.no## 2 (2015): Indian Journal of Fibre & Textile Research
 
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